✦ LIBER ✦

Quantitative convergence assessment for Markov chain Monte Carlo via cusums

✍ Scribed by S. P. Brooks

Book ID: 110271194
Publisher: Springer US
Year: 1998
Tongue: English
Weight: 154 KB
Volume: 8
Category: Article
ISSN: 0960-3174
DOI: 10.1023/a:1008965613031

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Convergence assessment techniques for Ma

Convergence assessment techniques for Markov chain Monte Carlo

✍ STEPHEN P. BROOKS; GARETH O. ROBERTS 📂 Article 📅 1998 🏛 Springer US 🌐 English ⚖ 221 KB

Assessing Convergence of Markov Chain Mo

Assessing Convergence of Markov Chain Monte Carlo Simulations in Hierarchical Bayesian Models for Population Pharmacokinetics

✍ Michael G. Dodds; Paolo Vicini 📂 Article 📅 2004 🏛 Springer 🌐 English ⚖ 701 KB

Accelerating Monte Carlo Markov chain co

Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models

✍ Mary Kathryn Cowles 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 855 KB

A simulation approach to convergence rat

A simulation approach to convergence rates for Markov chain Monte Carlo algorithms

✍ MARY KATHRYN COWLES; JEFFREY S. ROSENTHAL 📂 Article 📅 1998 🏛 Springer US 🌐 English ⚖ 158 KB

Identifiability and convergence issues f

Identifiability and convergence issues for Markov chain Monte Carlo fitting of spatial models

✍ Lynn E. Eberly; Bradley P. Carlin 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 310 KB 👁 2 views

The marked increase in popularity of Bayesian methods in statistical practice over the last decade owes much to the simultaneous development of Markov chain Monte Carlo (MCMC) methods for the evaluation of requisite posterior distributions. However, along with this increase in computing power has co

Convergence rates and asymptotic standar

Convergence rates and asymptotic standard errors for Markov chain Monte Carlo algorithms for Bayesian probit regression

✍ Vivekananda Roy; James P. Hobert 📂 Article 📅 2007 🏛 Blackwell Publishing 🌐 English ⚖ 561 KB